CITE certifies that a prespecified answer is the unique mode of an LLM response distribution with anytime-valid error control under arbitrary data-driven stopping and without prior knowledge of the answer set.
E-values: Calibration, combination and applications , volume=
4 Pith papers cite this work. Polarity classification is still indexing.
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The optimal wealth growth rate equals lim n→∞ of n^{-1} times inf KL(Q^n, P) over the bipolar of the n-fold null set, which is achievable and cannot be exceeded.
PRADAS derives a Bayes-optimal mirror statistic for any splitting scheme, establishes asymptotic FDR control under weak dependence, and optimizes the split ratio as a stopping time to improve power over standard equal-split methods.
Inferential models predict unobserved auxiliary values via calibrated predictive random sets before transferring plausibility to parameters, yielding valid uncertainty statements that relate fiducial, confidence, and belief-function approaches.
citing papers explorer
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CITE: Anytime-Valid Statistical Inference in LLM Self-Consistency
CITE certifies that a prespecified answer is the unique mode of an LLM response distribution with anytime-valid error control under arbitrary data-driven stopping and without prior knowledge of the answer set.
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The optimal betting wealth growth rate
The optimal wealth growth rate equals lim n→∞ of n^{-1} times inf KL(Q^n, P) over the bipolar of the n-fold null set, which is achievable and cannot be exceeded.
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PRADAS: PRior-Assisted DAta Splitting for False Discovery Rate Control
PRADAS derives a Bayes-optimal mirror statistic for any splitting scheme, establishes asymptotic FDR control under weak dependence, and optimizes the split ratio as a stopping time to improve power over standard equal-split methods.
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Inferential Models: The Power of Auxiliary Variables for Reasoning with Scientific Uncertainty
Inferential models predict unobserved auxiliary values via calibrated predictive random sets before transferring plausibility to parameters, yielding valid uncertainty statements that relate fiducial, confidence, and belief-function approaches.